• DocumentCode
    2964026
  • Title

    A turning function based approach for foot outline classification

  • Author

    Rodrigo, Asanka S. ; Goonetilleke, Ravindra S.

  • Author_Institution
    Dept. of Ind. Eng. & Logistics Manage., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    861
  • Lastpage
    864
  • Abstract
    This study introduces a turning function based technique to classify foot outlines. Foot scans from ten males and ten females were obtained using a laser scanner. The similarities among the different foot shapes were assessed based on the Euclidean distance between turning functions. Thereafter, average linkage clustering was used to classify the differing foot outlines. Two distinct shape groups emerged for both medial and lateral sides. The presence or absence of a medial bulge results in two clusters on the medial side. Similarly, a narrow lateral side with more concavity and a wider lateral side in the midfoot region are the two clusters for the lateral side. More males (60%) showed a bulge on the medial side. The group that belongs to the narrower lateral side were predominantly females (70%). These differences in the structure of the clusters were reflected in the lack of a correlation between the medial and lateral side clusters.
  • Keywords
    biomechanics; footwear; footwear industry; pattern classification; pattern clustering; physiology; Euclidean distance; average linkage clustering; foot outline classification; foot shapes; laser scanner; medial bulge; midfoot region; turning function; Clouds; Foot; Footwear; Humans; Industrial engineering; Laboratories; Logistics; Shape; Statistics; Turning; Foot shapes; cluster; foot outline; footwear; turning function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5372894
  • Filename
    5372894